
Radiography of the Labor Market and the Challenges of Professional Qualification in the Agrifood Sector
The Food and Beverage Industry consolidates itself as one of the main economic and employment engines in Spain, reaching 598,469 employed people in the second quarter of 2026, with a year-on-year increase of 8.4%. This positive dynamic is mainly driven by the food industry (CNAE 10), which experienced a growth of 10.5%.
The analysis of recent sector data (September 2026) —extracted from the INE, Social Security, and labor market studies— shows a sector in full evolution. In this scenario, Kreas, as a reference center for vocational and continuous training for the agrifood sector in Catalonia, takes these key figures as a basis to identify the strategic priorities that should guide future actions in talent development, career guidance, and sector training.
Catalonia, Undisputed Engine of the Food Industry
Territorial employment analysis reaffirms Catalonia’s leadership within the national landscape.
These data confirm that agrifood is not only an industrial pillar in Catalonia, but that its future competitiveness directly depends on the capacity to maintain and improve the qualifications of these workforces.
Figure 1: Territorial distribution of employment (% of national total). Source: Economically Active Population Survey (EPA) – National Statistics Institute (INE) (Average last 4 quarters)
Catalonia leads the country in agrifood employment volume, justifying the concentration of continuous training and career guidance resources in the Catalan territory.
The Challenge of Generational Turnover and Feminization of the Sector
The agrifood labor market faces two compelling demographic dynamics: workforce aging (Figure 2) and the progressive incorporation of female talent (Figure 3).
Figure 2: Age distribution in the food industry. Source: EPA (INE 2026Q2)
FOOD INDUSTRY (CNAE 10)
BEVERAGE MANUFACTURING (CNAE 11)
Figure 3: Gender breakdown in food and beverage subsectors. Source: EPA (INE 2026Q2)
The Explosion of Vocational Training (FP) and the Need for Technical Profiles
One of the most relevant data points in the report is the paradigm shift in workforce education levels (Figure 4). Although employees without professional studies remain the majority group (58.5% in the food industry), qualified talent from Vocational Training (FP) is growing at an accelerated pace.
In the second quarter of 2026, employed people with Vocational Training studies in the Food Industry registered a year-on-year increase of 21.1%, reaching 137,898 people.
VOLUME OF VOCATIONAL TECHNICAL PROFILES (FP):
2025Q2: 113,871 workers
2026Q2: 137,898 workers (+24,027 new qualified technicians)
Figure 4: Educational level and year-on-year variation. Source: EPA (INE 2026Q2 vs 2025Q2)
These figures demonstrate that companies are replacing low-skilled labor with technical profiles capable of managing automated processes, complying with food safety requirements, and leading plant digitalization.
In terms of occupations, the most demanded profiles in the Food Industry are:
- Food, beverage, and tobacco industry workers (CNO 770): 160,282 employed (30.1% of the subsector).
- Food, beverage, and tobacco machine operators (CNO 816): 66,137 employed (12.4%).
- Manufacturing industry laborers (CNO 970): 45,534 employed (8.5%).
- Technicians and scientific/support professionals (CNO 2-3): Notable year-on-year growth of 38.6%.
Quality of Employment and the Absenteeism Challenge
The agrifood labor market is characterized by high contractual stability. Since the labor reform came into effect, the sector’s temporary employment rate has dropped to 11.5%, performing better than the national average (15.1%).
However, this stability contrasts with a critical operational indicator: workplace absenteeism, as shown below (Figure 5).
GENERAL ABSENTEEISM RATE (%)
ABSENTEEISM RATE DUE TO TEMPORARY INCAPACITY (IT)
Figure 5: Workplace absenteeism and IT indicators. Source: EPA / Randstad Research (INE 2026Q1)
Absenteeism due to Temporary Incapacity (IT) in the food industry reaches 6.7%, clearly above the economy average. This factor directly impacts plant productivity and highlights the need to improve training in ergonomics, team coordination, risk prevention, and occupational health, as well as developing management skills for supervisors and line managers
Kreas’s Strategic Response: Transforming Data into Value Actions
The detailed labor market analysis confirms that the Catalan agrifood sector requires an integrated strategy for training, guidance, and talent development. Based on this diagnosis, the lines of action promoted by Kreas are structured to directly address the priority needs and key challenges identified in the productive fabric:
- Professional Guidance and Support
Facing workforce aging (47.2% over 45 years old) and the strong growth of FP profiles (+21.1%), guidance and support programs become a key tool for:
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- Upskilling and Reskilling: Assisting active workers without formal qualifications through professional skills recognition and accreditation processes.
- Guidance for female and immigrant talent: Supporting career progression and qualification enhancement for female talent (growing strongly at +17.9%) and foreign-born groups.
- Sector-Focused Training
Faced with absenteeism data (8.6%) and the need for qualified operators and technicians (over 42% of the sector), sector training must be oriented towards:
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- Production Line Efficiency and Digitalization: Practical training for operators and process automation.
- Food Safety and Team Leadership: Training for supervisors and plant managers to improve work environment, reduce sick leave, and optimize operational management.
- Incentivizing Agrifood Dual FP: Creating direct bridges between youth and companies to accelerate the essential generational turnover demanded by the sector.
Catalan agrifood is not only the engine of the national food industry; it is a stable, professionalized, and constantly transforming sector. At Kreas, we continue working as strategic partners for companies, workers, and public administrations to convert these quantitative challenges into future opportunities for people and the territory.




